Literature DB >> 8090707

Recognition of distantly related proteins through energy calculations.

R Abagyan1, D Frishman, P Argos.   

Abstract

A new method to detect remote relationships between protein sequences and known three-dimensional structures based on direct energy calculations and without reliance on statistics has been developed. The likelihood of a residue to occupy a given position on the structural template was represented by an estimate of the stabilization free energy made after explicit prediction of the substituted side chain conformation. The profile matrix derived from these energy values and modified by increasing the residue self-exchange values successfully predicted compatibility of heat-shock protein and globin sequences with the three-dimensional structures of actin and phycocyanin, respectively, from a full protein sequence databank search. The high sensitivity of the method makes it a unique tool for predicting the three-dimensional fold for the rapidly growing number of protein sequences.

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Year:  1994        PMID: 8090707     DOI: 10.1002/prot.340190206

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  8 in total

1.  Fold recognition by combining sequence profiles derived from evolution and from depth-dependent structural alignment of fragments.

Authors:  Hongyi Zhou; Yaoqi Zhou
Journal:  Proteins       Date:  2005-02-01

2.  A new method for ligand docking to flexible receptors by dual alanine scanning and refinement (SCARE).

Authors:  Giovanni Bottegoni; Irina Kufareva; Maxim Totrov; Ruben Abagyan
Journal:  J Comput Aided Mol Des       Date:  2008-02-14       Impact factor: 3.686

3.  Four-dimensional docking: a fast and accurate account of discrete receptor flexibility in ligand docking.

Authors:  Giovanni Bottegoni; Irina Kufareva; Maxim Totrov; Ruben Abagyan
Journal:  J Med Chem       Date:  2009-01-22       Impact factor: 7.446

4.  Systematic exploitation of multiple receptor conformations for virtual ligand screening.

Authors:  Giovanni Bottegoni; Walter Rocchia; Manuel Rueda; Ruben Abagyan; Andrea Cavalli
Journal:  PLoS One       Date:  2011-05-17       Impact factor: 3.240

5.  Discovery of holoenzyme-disrupting chemicals as substrate-selective CK2 inhibitors.

Authors:  Irina Kufareva; Benoit Bestgen; Paul Brear; Renaud Prudent; Béatrice Laudet; Virginie Moucadel; Mohamed Ettaoussi; Celine F Sautel; Isabelle Krimm; Matthias Engel; Odile Filhol; Marc Le Borgne; Thierry Lomberget; Claude Cochet; Ruben Abagyan
Journal:  Sci Rep       Date:  2019-11-04       Impact factor: 4.379

6.  Discovery of novel membrane binding structures and functions.

Authors:  Irina Kufareva; Marc Lenoir; Felician Dancea; Pooja Sridhar; Eugene Raush; Christin Bissig; Jean Gruenberg; Ruben Abagyan; Michael Overduin
Journal:  Biochem Cell Biol       Date:  2014-09-18       Impact factor: 3.626

7.  The structure function of the death domain of human IRAK-M.

Authors:  Jiangfeng Du; Gerry Af Nicolaes; Danielle Kruijswijk; Miranda Versloot; Tom van der Poll; Cornelis van 't Veer
Journal:  Cell Commun Signal       Date:  2014-12-07       Impact factor: 5.712

8.  Role of in silico structural modeling in predicting immunogenic neoepitopes for cancer vaccine development.

Authors:  Neeha Zaidi; Mariya Soban; Fangluo Chen; Heather Kinkead; Jocelyn Mathew; Mark Yarchoan; Todd D Armstrong; Shozeb Haider; Elizabeth M Jaffee
Journal:  JCI Insight       Date:  2020-09-03
  8 in total

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